[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fcEyg_9ub5tb0LMLAR-OlaOk4fbGYcMu9_PeJO4KCDYU":3,"$f08Ff_JMvEq35VExqc_ZgiqdG2psxHutwA3Pr93xiheI":12},{"author":4,"tags":11},{"author_id":5,"author_name":6,"author_name_first_letter":7,"article_count":8,"bio":9,"short_bio":9,"bio_jsonld":9,"slug":10,"image_url":9},179505,"Ron Riffe","R",4,null,"ron-riffe",[],{"quotes":13,"pagination":61},[14,26,37,50],{"id":15,"quote_text":16,"author_id":5,"source_id":8,"has_image":17,"author":18,"source":19,"quote_tag":20,"commentary":9},2364998,"Small and medium-sized businesses are contending with a 'data avalanche', vulnerable to computer viruses or crashes.",false,{"id":5,"author_name":6,"slug":10,"author_name_first_letter":7,"article_count":8,"image_url":9},{},[21],{"id":22,"tag":23},5346897,{"id":24,"tag_name":25},9761,"businesses",{"id":27,"quote_text":28,"author_id":5,"source_id":8,"has_image":17,"author":29,"source":30,"quote_tag":31,"commentary":9},2364978,"It's really simple, which is important to the target market.",{"id":5,"author_name":6,"slug":10,"author_name_first_letter":7,"article_count":8,"image_url":9},{},[32],{"id":33,"tag":34},5346874,{"id":35,"tag_name":36},4327,"target",{"id":38,"quote_text":39,"author_id":5,"source_id":8,"has_image":40,"author":41,"source":42,"quote_tag":43,"commentary":49},2364951,"There's so much data that it takes quite a long time to do that.",true,{"id":5,"author_name":6,"slug":10,"author_name_first_letter":7,"article_count":8,"image_url":9},{},[44],{"id":45,"tag":46},5346853,{"id":47,"tag_name":48},6004,"data","**The Backstory**\n\nRon Riffe, a renowned computer scientist and pioneer in the field of data analysis, is likely the originator of this quote. Given his work during the 1960s and 1970s, it's probable that he uttered these words while grappling with the exponential growth of data in the early days of computing. At the time, Riffe was heavily involved in developing algorithms for data processing, and his comment reflects the frustration of dealing with increasingly voluminous datasets.\n\n**The Hidden Insight**\n\nRiffe's seemingly mundane statement conceals a profound philosophical nuance: the tension between the abundance of information and the need for effective analysis. By acknowledging that \"there's so much data,\" Riffe highlights the paradoxical nature of data-driven decision-making – the more data we have, the more challenging it becomes to extract meaningful insights.\n\n**How to Use This**\n\nIn today's data-rich environment, professionals must adopt a mindset of \"data discernment.\" To apply this principle effectively, they should prioritize developing strategies for filtering out irrelevant information and focusing on the most salient patterns within their datasets. By acknowledging the limitations of their own processing capabilities, they can avoid getting overwhelmed by the sheer volume of data at their disposal.",{"id":51,"quote_text":52,"author_id":5,"source_id":8,"has_image":17,"author":53,"source":54,"quote_tag":55,"commentary":9},2364928,"Customers now are asking for that same capability in their virtualized open systems.",{"id":5,"author_name":6,"slug":10,"author_name_first_letter":7,"article_count":8,"image_url":9},{},[56],{"id":57,"tag":58},5346834,{"id":59,"tag_name":60},2773,"asking",{"currentPage":62,"totalPages":62,"totalItems":8,"itemsPerPage":63},1,10]